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      The Impacts of the Coronavirus on the Economy of the United States.

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          Abstract

          We present a formal analysis of the macroeconomic impacts of the COVID-19 pandemic in the U.S., China and the rest of the world. Given the uncertainty regarding the severity and time-path of the infections and related conditions, we examine three scenarios, ranging from a relatively moderate event to a disaster. The study considers a comprehensive list of causal factors affecting the impacts, including: mandatory closures and the gradual re-opening process; decline in workforce due to morbidity, mortality and avoidance behavior; increased demand for health care; decreased demand for public transportation and leisure activities; potential resilience through telework; increased demand for communication services; and increased pent-up demand. We apply a computable general equilibrium (CGE) model, a state-of-the-art economy-wide modeling technique. It traces the broader economic ramifications of individual responses of producers and consumers through supply chains both within and across countries. We project that the net U.S. GDP losses from COVID-19 would range from $3.2 trillion (14.8%) to $4.8 trillion (23.0%) in a 2-year period for the three scenarios. U.S. impacts are estimated to be higher than those for China and the ROW in percentage terms. The major factor affecting the results in all three scenarios is the combination of Mandatory Closures and Partial Reopenings of businesses. These alone would have resulted in a 22.3% to 60.6% decrease in U.S. GDP across the scenarios. Pent-up Demand, generated from the inability to spend during the Closures/Reopenings, is the second most influential factor, significantly offsetting the overall negative impacts.

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          The Standard GTAP Model, version 7

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            Effects on the U.S. of an H1N1 Epidemic: Analysis with a Quarterly CGE Model

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              US Trade Actions Against China: A Supply Chain Perspective

              In 2018, the United States (US) Administration initiated several trade actions, including tariffs on China for unfair trade practices outlined by the US Trade Representative (USTR). In response, China filed requests for consultations with the World Trade Organization (WTO) and has implemented or threatened to implement increased tariffs on US products. In this article, the implications of current and potential US trade actions and responses by China on the US and global economy are estimated. We employ a dynamic supply chain model based on the widely used Global Trade Analysis Project (GTAP) Data Base and model. Our analysis finds that US gross domestic product (GDP) would be reduced by a projected –0.86 per cent in 2030 (or US$227.8 billion in 2017 dollars), as the role of the USA in global supply chains declines significantly. China’s GDP would also decline considerably by 2.84 per cent as a result of the actions imposed against it, while the rest of the world gain, as they fill the gaps left by US and Chinese producers. JEL: F16, C68
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                Author and article information

                Journal
                Econ Disaster Clim Chang
                Economics of disasters and climate change
                Springer Science and Business Media LLC
                2511-1299
                2511-1299
                2021
                : 5
                : 1
                Affiliations
                [1 ] Department of Economics, Dornsife College of Letters, Arts and Sciences and Center for Risk and Economic Analysis of Terrorism Events (CREATE), University of Southern California (USC), Los Angeles, CA USA.
                [2 ] CREATE, Sol Price School of Public Policy, Schaeffer Center for Health Policy and Economics, USC, Los Angeles, CA USA.
                [3 ] CREATE, Sol Price School of Public Policy, USC, Los Angeles, CA USA.
                Article
                80
                10.1007/s41885-020-00080-1
                7725664
                33319165
                d1dcbf10-9be6-4b2f-addb-fa7fda46a3a3
                © Springer Nature Switzerland AG 2020.
                History

                Avoidance behavior,COVID-19,Healthcare costs,Macroeconomic impacts,Pent-up demand,Telework

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